Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 1.2 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 4 | MADIOT Marc | 68 |
| 6 | BOURREAU Bernard | 63 |
| 15 | VAN IMPE Lucien | 59 |
| 17 | JOURDAN Christian | 64 |
| 20 | THALER Klaus-Peter | 60 |
| 38 | MAERTENS Freddy | 65 |
| 64 | OVION Régis | 64 |
| 65 | MARTINEZ Paulino | 80 |